Kfn {spatial} | R Documentation

## Compute K-fn of a Point Pattern

### Description

Actually computes L = sqrt(K/pi).

### Usage

    Kfn(pp, fs, k=100)

### Arguments

`pp` | a list such as a pp object, including components `x` and `y`
`fs` | full scale of the plot
`k` | number of regularly spaced distances in (0, `fs`)

### Details

relies on the domain D having been set by `ppinit` or `ppregion`.

### Value

A list with components

`x` | vector of distances
`y` | vector of L-fn values
`k` | number of distances returned – may be less than `k` if `fs` is too large
`dmin` | minimum distance between pair of points
`lm` | maximum deviation from L(t) = t

### References

Ripley, B. D. (1981) Spatial Statistics. Wiley.

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.

### See Also

`ppinit`, `ppregion`, `Kaver`, `Kenvl`

### Examples

    towns <- ppinit("towns.dat")
    par(pty="s")
    plot(Kfn(towns, 10), type="s", xlab="distance", ylab="L(t)")

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